code: def __init__(self, layer, num_layers):
      super().__init__()
      self.layers = nn.ModuleList(
          [copy.deepcopy(layer) for i in range(num_layers)]
      )
      self.num_layers = num_layers
  
file_path: ml-ane-transformers/ane_transformers/reference/encoder.py
imports: import copy
  import torch
  import torch.nn
label_desc: Use image node_id 1 to create a new TransformerEncoder object from inherited base classes: nn with example: obj = TransformerEncoder(layer, num_layers)